EVA-02

BAAI · 2023 · Vision/CV · China

A to Z

A · App: No
B · Built By: BAAI
C · CEO & Politics: N/A (research institute) — Not publicly documented (PRC-based; operates under Chinese regulatory environment)
D · Date: 2023
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text
J · Jurisdiction: China
K · Key Staffers: Yuxin Fang (Lead author), Xinlong Wang (BAAI Vision lead), Yue Cao (Senior author)
L · Languages: Chinese-primary
M · Model Type: Vision/CV
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights, MIT)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: BAAI's EVA-02 (March 2023), a family of plain Transformer image encoders from 6M to 304M parameters pre-trained by masked image modeling to reconstruct language-aligned features from a giant EVA-CLIP teacher; using only public data, the 304M model reaches 90.0% top-1 accuracy on ImageNet-1K after fine-tuning, and its EVA-02-CLIP variant reaches 80.4% zero-shot, beating the largest open CLIP of the time with about a sixth of the parameters and training data.
S · Stock / Status: N/A (research)
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: [UNKNOWN]
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights Vision/CV from BAAI, released 2023.

Data completeness 81% · Last verified 2026-05-12 · Primary source ↗

“EVA-02.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/eva-02.html